Agentic AI Engineer for Enterprise Workflows in Toronto

Agentic AI Engineer for Enterprise Workflows in Toronto

Toronto Full-Time 133560 - 163240 $ / year (est.) On-site
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At a Glance

  • Tasks: Design and deploy AI workflows using cutting-edge LLM technology.
  • Company: Join Cohere, a leader in AI innovation and enterprise solutions.
  • Benefits: Competitive salary, travel opportunities, and hands-on experience with real-world projects.
  • Other info: Collaborative environment with opportunities for growth and travel.
  • Why this job: Shape the future of AI by solving real problems for customers.
  • Qualifications: Experience in software engineering and applied AI is a must.

The predicted salary is between 133560 - 163240 $ per year.

Cohere is seeking Software Engineers with Applied AI experience to design, build, and deploy agentic workflows powered by LLMs.

You will work with customers on real-world problems to create first-of-kind agent workflows integrating LLMs with tools, APIs, and data sources.

The role requires delivering reliable, observable, safe, and auditable agents from day one.

Travel up to 20-40% and collaboration with customers on enterprise projects will be common as you shape North, Cohere's AI workspace

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Agentic AI Engineer for Enterprise Workflows in Toronto employer: Urban Ridge Supplies

Tata Consultancy Services (TCS) is an exceptional employer that fosters a collaborative and innovative work culture, making it an ideal place for Senior Solutions Engineers to thrive. With a strong emphasis on employee growth, TCS offers numerous opportunities for professional development and mentorship, particularly in cutting-edge AI technologies. Located in a vibrant tech hub, employees benefit from a dynamic environment that encourages creativity and impactful contributions to transformative projects.

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Contact Details:

Urban Ridge Supplies Recruitment Team

We think you need these skills to ace Agentic AI Engineer for Enterprise Workflows in Toronto

Applied AI
LLMs (Large Language Models)
Software Engineering
Workflow Design
API Integration
Data Source Integration
Reliability Engineering